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Journal of Applied Remote Sensing

Optimal waveform-based clutter suppression algorithm for recursive synthetic aperture radar imaging systems
Author(s): Bingqi Zhu; Yesheng Gao; Kaizhi Wang; Xingzhao Liu
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Paper Abstract

A computational method for suppressing clutter and generating clear microwave images of targets is proposed in this paper, which combines synthetic aperture radar (SAR) principles with recursive method and waveform design theory, and it is suitable for SAR for special applications. The nonlinear recursive model is introduced into the SAR operation principle, and the cubature Kalman filter algorithm is used to estimate target and clutter responses in each azimuth position based on their previous states, which are both assumed to be Gaussian distributions. NP criteria-based optimal waveforms are designed repeatedly as the sensor flies along its azimuth path and are used as the transmitting signals. A clutter suppression filter is then designed and added to suppress the clutter response while maintaining most of the target response. Thus, with fewer disturbances from the clutter response, we can generate the SAR image with traditional azimuth matched filters. Our simulations show that the clutter suppression filter significantly reduces the clutter response, and our algorithm greatly improves the SINR of the SAR image based on different clutter suppression filter parameters. As such, this algorithm may be preferable for special target imaging when prior information on the target is available.

Paper Details

Date Published: 1 June 2016
PDF: 19 pages
J. Appl. Remote Sens. 10(2) 025017 doi: 10.1117/1.JRS.10.025017
Published in: Journal of Applied Remote Sensing Volume 10, Issue 2
Show Author Affiliations
Bingqi Zhu, Shanghai Jiao Tong Univ. (China)
Yesheng Gao, Shanghai Jiao Tong Univ. (China)
Kaizhi Wang, Shanghai Jiao Tong Univ. (China)
Xingzhao Liu, Shanghai Jiao Tong Univ. (China)


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